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AI-assisted Methods and Tools for Engineering Automation is sponsored by European Commission — Horizon Europe. Expected Outcome: he project is expected to contribute to the following outcomes: Advanced AI-assisted methods and tools , including generative AI , for the automation of software engineering tasks, from enhancing human efficiency and optimizing resource utilization to enabling complex data/problems analysis/interpretation and supporting intelligent decision-making. Such engineering tasks often involve multiple domains (e.g., modelling, control, data management, communication, mechatronics, etc.) and stakeholders, with the burden of daunting legacy integration, refactoring (e.g., to re-design and replace obsolete technology), and the compliance with specific standards, regulations and certifications. Open and extensible AI-assisted integrated platform, based on methodologies including AI-support, AI-based tools and toolchains, following a well-defined engineering process, including the integration with legacy tools. The platform shall provide flexible usage in small and large multi-domain and multi-stakeholder engineering teams, impacting existing and upcoming ECS engineering automation tools and their usage. Showcasing and evaluation for software-defined vehicles of efficiency enhancements in terms of cost and time for complex data/knowledge management, resource optimization, energy consumption, interoperability, product/process quality/trustworthiness, learning curve and usability, over the whole lifecycle, from design, through deployment, operations, and maintenance, to the product end-of-life and recycling, and its evolution. Best practices and small proof-of-concept studies for other sectors , e.g. medical/pharmaceutical and/or digital industry. Programme areas: Global Challenges and European Industrial Competitiveness, Digital, Industry and Space, Key Digital Technologies Official opportunity description and requirements excerpt: HORIZON-JU-IA HORIZON JU Innovation Actions HORIZON Action Grant Budget-Based [HORIZON-AG] 03 March 2026 17:00:00 Brussels time he project is expected to contribute to the following outcomes: * **_Advanced AI-assisted methods and tools_**, including generative AI _,_ for the automation of software engineering tasks, from enhancing human efficiency and optimizing resource utilization to enabling complex data/problems analysis/interpretation and supporting intelligent decision-making. Such engineering tasks often involve multiple domains (e.g., modelling, control, data management, communication, mechatronics, etc.) and stakeholders, with the burden of daunting legacy integration, refactoring (e.g., to re-design and replace obsolete technology), and the compliance with specific standards, regulations and certifications. * **_Open and extensible AI-assisted integrated platform,_** based on methodologies including AI-support, AI-based tools and toolchains, following a well-defined engineering process, including the integration with legacy tools. The platform shall provide flexible usage in small and large multi-domain and multi-stakeholder engineering teams, impacting existing and upcoming ECS engineering automation tools and their usage. * **_Showcasing and evaluation_** for software-defined vehicles of efficiency enhancements in terms of cost and time for complex data/knowledge management, resource optimization, energy consumption, interoperability, product/process quality/trustworthiness, learning curve and usability, over the whole lifecycle, from design, through deployment, operations, and maintenance, to the product end-of-life and recycling, and its evolution. * **_Best practices and small proof-of-concept studies for other sectors_**, e.g. medical/pharmaceutical and/or digital industry. The submission session is now available for: HORIZON-JU-CHIPS-2026-FT4-IA Please visit the Call page of the Chips JU Website #### **Call document and annexes:** The Call Documents Section contains all the call documents, which are listed here: Call submission documents and annexes Application form template Part B National funding table template Ownership declaration template #### Application and evaluation forms and model grant agreement (MGA): #### Additional documents: | Topic | Budget (EUR) - Year : 2026 | Stages | Opening date | Deadline | Contributions | Indicative number of grants | | --- | --- | --- | --- | --- | --- | --- | | HORIZON-JU-CHIPS-2026-FT4-IA - HORIZON-JU-IA HORIZON JU Innovation Actions | 20 000 000 | Single-stage | 03/02/2026 | 03/03/2026 | 1000000 to 20000000 | 1 | **Searches of partners to collaborate on this topic** LEARs, Account Administrators or self-registrants can publish partner requests for open and forthcoming topics after logging into this Portal, as well as any user having an active public Person profile. To access the Electronic Submission Service, please click on the submission-button next to the **type of action** and the **type of model grant agreement** that corresponds to your proposal. You will then Application snapshot: target deadline March 3, 2026; published funding information Funding amounts vary by project scope and award track.; eligibility guidance Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: HORIZON-JU-IA HORIZON JU Innovation Actions. Additional conditions: "> General conditions 1. Admissibility Conditions: Proposal page limit and layout Proposal page limits and layout: detailed in Part B of the Application Form , which you can access from the Call documents section on the   Chips JU website's Call page The following information are all described in the   Appendix 7 of the Chips JU Workprogramme 2. Eligible Countries 3. Other Eligible Conditions 4. Financial and operational capacity and exclusion 5a. Evaluation and award: Award criteria,... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
AI improved advanced manufacturing and production processes in factories (RIA) (Made in Europe and AI, Data and Robotics partnerships) is sponsored by European Commission — Horizon Europe. Expected Outcome: Increased competitiveness and productivity, through innovative AI-enabled advanced manufacturing processes and operations, including real-time monitoring and adaptive optimisation; and Reduction of emissions and alignment with Clean Industrial Deal objectives. Scope: AI approaches in manufacturing processes hold the potential to significantly enhance circularity, process and operational efficiency as well as sustainability of modern factories. Current state-of-the-art technologies have already paved the way for more streamlined operations, yet there remains untapped value in e.g. quality improvement, definition of optimal process operating conditions, reduction of scrap, optimization of energy usage. Real-time monitoring and adaptive optimisation using AI models can enable agile responses to production variability and support sustained, high-performance operations. New solutions based on innovative enabling technologies such as deep learning, large language models, digital twins, synthetic data, and data-driven models allow manufacturers to improve production system efficiency, elevate product quality, and proactively address critical challenges in energy consumption and carbon footprint. This dual focus on operational excellence and sustainability ensures that factories can maintain competitive advantage while also contributing to specific environmental goals, e.g. reducing the pressure on ecosystems and natural resources. Since innovation capacity and competitiveness also requires a systemic understanding of an organization’s value creating structure, novel AI solutions should be implemented such that they can support all structures and phases of operation, in technical and non-technical terms. Proposals should produce dedicated innovative explainable AI based solutions in advanced manufacturing for at least two of the following: improve processes and operational efficiency, and reduce climate and environmental impact of processes and factories through dynamic selection of optimal processes and production parameters, exploiting AI for process modelling and/or optimisation; avoid the production of defective parts using AI to detect process drift and anomalies and correct proactively defects in real time; and maximise the fraction of regenerated components or materials used in the production using AI to optimise the material flow. Proposals should demonstrate potential for these AI tools to adapt to changing production needs and real-time data, and should describe how industrial data access, confidentiality, and secure data-sharing will be addressed. Projects are encouraged to link with AI Factories, including the Data Labs. The results may be validated in Testing and Experiment Facilities (TEFs), and further deployed via European Digital Innovation Hubs (EDIHs). This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives. Proposals can optionally address the conditions for implementing the novel AI solutions within an organisations structure and value creating models, thereby contributing to systemic approach of implementing a smart organisation. This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives. Proposals should include a business case and exploitation strategy, as outlined in the introduction to Destination ‘Leadership in materials and production for Europe’. This topic implements the co-programmed European Partnerships Made in Europe and AI, Data and Robotics. Technology Readiness Level - Technology readiness level expected from completed projects Activities are expected to start at TRL 4-5 and achieve TRL 6 by the end of the project – see General Annex B. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space Deadline stages: 2026-03-17, 2026-10-13 Application snapshot: target deadline March 17, 2026; published funding information €98M total budget (~$105.8M USD) ; €4M–€6M per project ; ~6 grants expected; eligibility guidance Open to legal entities established in EU Member States and countries associated to Horizon Europe (including EEA/EFTA countries, and other associated third countries). Action type: HORIZON-RIA HORIZON Research and Innovation Actions. Additional conditions: "> General conditions 1. Admissibility Conditions: Proposal page limit and layout Applicants submitting a proposal for a blind evaluation (see General Annex F) must not disclose their organisation names, acronyms, logos nor names of personnel in the proposal abstract and Part B of their first-stage application (see General Annex E). In order to include a business case and exploitation strategy, as outlined in the introduction to Destination 'Leadership in materials and production for Europe',... See the official call documentation on the F&T Portal for full eligibility criteria and participation rules. Use the official notice and source links for final requirements, attachment checklists, allowable costs, and submission instructions before applying.
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